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Transmit Power Control Policies for Energy Harvesting Sensors With Retransmissions

机译:带重传的能量收集传感器的发送功率控制策略

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This paper addresses the problem of finding outage- optimal power control policies for wireless energy harvesting sensor (EHS) nodes with automatic repeat request (ARQ)-based packet transmissions. The power control policy of the EHS specifies the transmission power for each packet transmission attempt, based on all the information available at the EHS. In particular, the acknowledgement (ACK) or negative acknowledgement (NACK) messages received provide the EHS with partial information about the channel state. We solve the problem of finding an optimal power control policy by casting it as a partially observable Markov decision process (POMDP). We study the structure of the optimal power policy in two ways. First, for the special case of binary power levels at the EHS, we show that the optimal policy for the underlying Markov decision process (MDP) when the channel state is observable is a threshold policy in the battery state. Second, we benchmark the performance of the EHS by rigorously analyzing the outage probability of a general fixed-power transmission scheme, where the EHS uses a predetermined power level at each slot within the frame. Monte Carlo simulation results illustrate the performance of the POMDP approach and verify the accuracy of the analysis. They also show that the POMDP solutions can significantly outperform conventional ad hoc approaches.
机译:本文解决了为基于自动重发请求(ARQ)的分组传输的无线能量收集传感器(EHS)节点找到断电最佳功率控制策略的问题。 EHS的功率控制策略根据EHS上可用的所有信息,为每个数据包传输尝试指定传输功率。特别地,接收到的确认(ACK)消息或否定确认(NACK)消息为EHS提供有关信道状态的部分信息。我们通过将其转化为部分可观察的马尔可夫决策过程(POMDP)解决了寻找最佳功率控制策略的问题。我们通过两种方式研究最优功率策略的结构。首先,对于EHS二进制功率水平的特殊情况,我们表明,当可观察到信道状态时,用于基础Markov决策过程(MDP)的最佳策略是电池状态下的阈值策略。其次,我们通过严格分析一般固定功率传输方案的中断概率来对EHS的性能进行基准测试,其中EHS在帧内的每个时隙使用预定的功率水平。蒙特卡洛仿真结果说明了POMDP方法的性能,并验证了分析的准确性。他们还表明,POMDP解决方案可以大大优于传统的临时方法。

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